A global classification of hydrologic functional diversity in gauged and ungauged catchments

IF 30.7
Ali A. Ameli, Hamed Sharif, Jeffrey J. McDonnell
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Abstract

Most of the world’s streams remain ungauged—a longstanding hydrologic challenge. Here we develop a globally scalable, seasonally resolved framework that classifies catchments according to the complexity of how rainfall is converted into runoff across events, yielding three functional types: simple, intermediate and complex. Applied to over 80,000 gauged and ungauged catchments, it reveals that functional complexity is the global norm: catchments draining 87% of the evaluated ungauged land area are classified as complex in the dormant season, with the number of complex catchments increasing by 63% in the growing season. Africa and much of Asia (except Japan) remain predominantly complex year round, Europe reaches 94% complex in the growing season, the US Pacific Northwest and Canada’s British Columbia retain simple clusters, and southeastern South America and southeastern Australia show notable transitions from complex to intermediate, demonstrating that catchment functional type is not fixed. Greater urban and agricultural land cover, together with less persistent rainfall, are associated with greater functional complexity. These findings provide a blueprint for prioritizing streamflow gauging in under-represented complex catchments and for guiding model structural selection, transferability and prediction in ungauged catchments, ensuring that models are neither simpler than necessary nor more complex than required. This study presents a globally scalable, seasonally resolved classification of gauged and ungauged catchments into three functional rainfall–runoff types (simple, intermediate and complex), revealing that functional complexity is the norm across most of the world’s rain-dominated streams and rivers and providing a framework to guide streamflow gauging network prioritization and hydrologic model structural design.
测量和未测量集水区水文功能多样性的全球分类
世界上大多数河流仍未被测量——这是一个长期存在的水文学挑战。在这里,我们开发了一个全球可扩展的、季节性解决的框架,根据降雨如何在不同事件中转化为径流的复杂性对集水区进行分类,产生三种功能类型:简单、中间和复杂。应用于超过80,000个测量和未测量的集水区,它揭示了功能复杂性是全球标准:在休眠期,87%的评估未测量土地面积的集水区被归类为复杂集水区,而在生长季,复杂集水区的数量增加了63%。非洲和亚洲大部分地区(除日本外)全年仍以复合型为主,欧洲在生长季达到94%的复合型,美国太平洋西北部和加拿大不列颠哥伦比亚省仍保持简单的集群,南美洲东南部和澳大利亚东南部呈现出从复合型向中间型的显著转变,表明集水区功能类型不是固定的。更大的城市和农业土地覆盖,加上更少的持续降雨,与更大的功能复杂性有关。这些发现为在代表性不足的复杂流域中优先进行流量测量提供了蓝图,并为在未测量的流域中指导模型结构选择、可转移性和预测提供了蓝图,确保模型既不简单,也不复杂。本研究提出了一种全球可扩展的、季节性解决的分类方法,将测量和未测量的集水区分为三种功能降雨径流类型(简单、中等和复杂),揭示了功能复杂性是世界上大多数以雨为主的溪流和河流的常态,并为指导流量测量网络优先级和水文模型结构设计提供了框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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